Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	82
Missing cells	14
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.1 KiB
Average record size in memory	225.6 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-21"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`url` has a high cardinality: 82 distinct values	High cardinality
`name` has a high cardinality: 66 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 55 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 55 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 51 distinct values	High cardinality
`_links_self_href` has a high cardinality: 82 distinct values	High cardinality
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `summary` and 17 other fields	High correlation
`summary` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`name` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`id` is highly correlated with `url` and 12 other fields	High correlation
`url` is highly correlated with `id` and 24 other fields	High correlation
`name` is highly correlated with `id` and 23 other fields	High correlation
`season` is highly correlated with `url` and 15 other fields	High correlation
`number` is highly correlated with `url` and 16 other fields	High correlation
`type` is highly correlated with `url` and 11 other fields	High correlation
`airtime` is highly correlated with `url` and 19 other fields	High correlation
`airstamp` is highly correlated with `id` and 24 other fields	High correlation
`runtime` is highly correlated with `url` and 21 other fields	High correlation
`summary` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_genres` is highly correlated with `url` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `url` and 21 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `url` and 21 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 18 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 19 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 14 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 24 other fields	High correlation
`number` has 4 (4.9%) missing values	Missing
`runtime` has 3 (3.7%) missing values	Missing
`_embedded_show_runtime` has 6 (7.3%) missing values	Missing
`_embedded_show_averageRuntime` has 1 (1.2%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:17:59.771846
Analysis finished	2022-05-10 02:18:30.007768
Duration	30.24 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	82
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2020892.695

Minimum	1967930
Maximum	2318109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	1967930
5-th percentile	1972798.5
Q1	1982851.75
median	1991086
Q3	2005748.75
95-th percentile	2197581.5
Maximum	2318109
Range	350179
Interquartile range (IQR)	22897

Descriptive statistics

Standard deviation	74587.70837
Coefficient of variation (CV)	0.03690829728
Kurtosis	4.377662335
Mean	2020892.695
Median Absolute Deviation (MAD)	10098.5
Skewness	2.253098726
Sum	165713201
Variance	5563326240
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1977899	1	1.2%
1998542	1	1.2%
1993817	1	1.2%
1993816	1	1.2%
1993815	1	1.2%
1993814	1	1.2%
1993813	1	1.2%
1993812	1	1.2%
1993811	1	1.2%
1993810	1	1.2%
Other values (72)	72	87.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1967930	1	1.2%
1969063	1	1.2%
1970768	1	1.2%
1972059	1	1.2%
1972713	1	1.2%
1974423	1	1.2%
1974424	1	1.2%
1976042	1	1.2%
1976043	1	1.2%
1977329	1	1.2%

Value	Count	Frequency (%)
2318109	1	1.2%
2243214	1	1.2%
2239610	1	1.2%
2211137	1	1.2%
2197597	1	1.2%
2197287	1	1.2%
2176138	1	1.2%
2164195	1	1.2%
2152586	1	1.2%
2140388	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	82
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1
https://www.tvmaze.com/episodes/1998542/love-script-1x03-episode-3	1
https://www.tvmaze.com/episodes/1993817/the-case-solver-1x11-episode-11	1
https://www.tvmaze.com/episodes/1993816/the-case-solver-1x10-episode-10	1
https://www.tvmaze.com/episodes/1993815/the-case-solver-1x09-episode-9	1
Other values (77)	77

Length

Max length	141
Median length	95
Mean length	79.03658537
Min length	58

Characters and Unicode

Total characters	6481
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12
2nd row	https://www.tvmaze.com/episodes/2164195/ispoved-1x09-viktoria-bona
3rd row	https://www.tvmaze.com/episodes/1982407/volk-1x09-seria-09
4th row	https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10
5th row	https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1	1.2%
https://www.tvmaze.com/episodes/1998542/love-script-1x03-episode-3	1	1.2%
https://www.tvmaze.com/episodes/1993817/the-case-solver-1x11-episode-11	1	1.2%
https://www.tvmaze.com/episodes/1993816/the-case-solver-1x10-episode-10	1	1.2%
https://www.tvmaze.com/episodes/1993815/the-case-solver-1x09-episode-9	1	1.2%
https://www.tvmaze.com/episodes/1993814/the-case-solver-1x08-episode-8	1	1.2%
https://www.tvmaze.com/episodes/1993813/the-case-solver-1x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1993812/the-case-solver-1x06-episode-6	1	1.2%
https://www.tvmaze.com/episodes/1993811/the-case-solver-1x05-episode-5	1	1.2%
https://www.tvmaze.com/episodes/1993810/the-case-solver-1x04-episode-4	1	1.2%
Other values (72)	72	87.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1	1.2%
https://www.tvmaze.com/episodes/1972059/red-vs-blue-18x07-for-power-pt-1	1	1.2%
https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10	1	1.2%
https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3	1	1.2%
https://www.tvmaze.com/episodes/2062926/god-of-ten-thousand-realms-1x01-episode-1	1	1.2%
https://www.tvmaze.com/episodes/2062927/god-of-ten-thousand-realms-1x02-episode-2	1	1.2%
https://www.tvmaze.com/episodes/2062928/god-of-ten-thousand-realms-1x03-episode-3	1	1.2%
https://www.tvmaze.com/episodes/2140388/going-seventeen-2020-12-21-going-vs-seventeen-2	1	1.2%
https://www.tvmaze.com/episodes/2005748/legend-of-yun-qian-1x01-episode-1	1	1.2%
https://www.tvmaze.com/episodes/2005749/legend-of-yun-qian-1x02-episode-2	1	1.2%
Other values (72)	72	87.8%

Most occurring characters

Value	Count	Frequency (%)
e	571	8.8%
-	517	8.0%
s	447	6.9%
/	410	6.3%
t	410	6.3%
o	353	5.4%
w	278	4.3%
a	238	3.7%
p	234	3.6%
i	228	3.5%
Other values (30)	2795	43.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4317	66.6%
Decimal Number	991	15.3%
Other Punctuation	656	10.1%
Dash Punctuation	517	8.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	571	13.2%
s	447	10.4%
t	410	9.5%
o	353	8.2%
w	278	6.4%
a	238	5.5%
p	234	5.4%
i	228	5.3%
m	207	4.8%
d	191	4.4%
Other values (16)	1160	26.9%

Decimal Number

Value	Count	Frequency (%)
1	228	23.0%
2	138	13.9%
0	128	12.9%
9	122	12.3%
3	85	8.6%
8	79	8.0%
7	65	6.6%
4	58	5.9%
6	47	4.7%
5	41	4.1%

Other Punctuation

Value	Count	Frequency (%)
/	410	62.5%
.	164	25.0%
:	82	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	517	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4317	66.6%
Common	2164	33.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	571	13.2%
s	447	10.4%
t	410	9.5%
o	353	8.2%
w	278	6.4%
a	238	5.5%
p	234	5.4%
i	228	5.3%
m	207	4.8%
d	191	4.4%
Other values (16)	1160	26.9%

Common

Value	Count	Frequency (%)
-	517	23.9%
/	410	18.9%
1	228	10.5%
.	164	7.6%
2	138	6.4%
0	128	5.9%
9	122	5.6%
3	85	3.9%
:	82	3.8%
8	79	3.7%
Other values (4)	211	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6481	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	571	8.8%
-	517	8.0%
s	447	6.9%
/	410	6.3%
t	410	6.3%
o	353	5.4%
w	278	4.3%
a	238	3.7%
p	234	3.6%
i	228	3.5%
Other values (30)	2795	43.1%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	66
Distinct (%)	80.5%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

Episode 7	3
Episode 3	3
Episode 4	3
Episode 6	3
Episode 1	3
Other values (61)	67

Length

Max length	75
Median length	63.5
Mean length	16.43902439
Min length	7

Characters and Unicode

Total characters	1348
Distinct characters	99
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	56 ?
Unique (%)	68.3%

Sample

1st row	Серия 12
2nd row	Виктория Боня
3rd row	Серия 09
4th row	Серия 10
5th row	Серия 3

Common Values

Value	Count	Frequency (%)
Episode 7	3	3.7%
Episode 3	3	3.7%
Episode 4	3	3.7%
Episode 6	3	3.7%
Episode 1	3	3.7%
Episode 2	3	3.7%
Episode 5	2	2.4%
Episode 10	2	2.4%
Episode 9	2	2.4%
Episode 8	2	2.4%
Other values (56)	56	68.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	39	15.2%
1	6	2.3%
3	5	1.9%
	5	1.9%
2	5	1.9%
серия	5	1.9%
2020	4	1.6%
21	4	1.6%
the	4	1.6%
for	3	1.2%
Other values (146)	177	68.9%

Most occurring characters

Value	Count	Frequency (%)
	175	13.0%
e	99	7.3%
o	87	6.5%
i	76	5.6%
s	70	5.2%
d	54	4.0%
r	52	3.9%
E	50	3.7%
a	47	3.5%
p	44	3.3%
Other values (89)	594	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	816	60.5%
Uppercase Letter	206	15.3%
Space Separator	175	13.0%
Decimal Number	114	8.5%
Other Punctuation	26	1.9%
Dash Punctuation	7	0.5%
Final Punctuation	1	0.1%
Initial Punctuation	1	0.1%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	99	12.1%
o	87	10.7%
i	76	9.3%
s	70	8.6%
d	54	6.6%
r	52	6.4%
a	47	5.8%
p	44	5.4%
t	40	4.9%
n	28	3.4%
Other values (37)	219	26.8%

Uppercase Letter

Value	Count	Frequency (%)
E	50	24.3%
S	19	9.2%
T	15	7.3%
L	12	5.8%
B	9	4.4%
F	9	4.4%
D	9	4.4%
N	8	3.9%
W	6	2.9%
R	6	2.9%
Other values (19)	63	30.6%

Decimal Number

Value	Count	Frequency (%)
1	26	22.8%
2	22	19.3%
0	17	14.9%
3	15	13.2%
5	8	7.0%
6	8	7.0%
4	6	5.3%
9	5	4.4%
8	4	3.5%
7	3	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	10	38.5%
#	6	23.1%
:	3	11.5%
'	2	7.7%
.	2	7.7%
?	2	7.7%
!	1	3.8%

Space Separator

Value	Count	Frequency (%)
	175	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	922	68.4%
Common	326	24.2%
Cyrillic	100	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	99	10.7%
o	87	9.4%
i	76	8.2%
s	70	7.6%
d	54	5.9%
r	52	5.6%
E	50	5.4%
a	47	5.1%
p	44	4.8%
t	40	4.3%
Other values (37)	303	32.9%

Cyrillic

Value	Count	Frequency (%)
и	15	15.0%
я	9	9.0%
л	8	8.0%
е	7	7.0%
р	7	7.0%
а	5	5.0%
к	5	5.0%
С	5	5.0%
у	4	4.0%
о	4	4.0%
Other values (19)	31	31.0%

Common

Value	Count	Frequency (%)
	175	53.7%
1	26	8.0%
2	22	6.7%
0	17	5.2%
3	15	4.6%
,	10	3.1%
5	8	2.5%
6	8	2.5%
-	7	2.1%
#	6	1.8%
Other values (13)	32	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1246	92.4%
Cyrillic	100	7.4%
None	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	175	14.0%
e	99	7.9%
o	87	7.0%
i	76	6.1%
s	70	5.6%
d	54	4.3%
r	52	4.2%
E	50	4.0%
a	47	3.8%
p	44	3.5%
Other values (58)	492	39.5%

Cyrillic

Value	Count	Frequency (%)
и	15	15.0%
я	9	9.0%
л	8	8.0%
е	7	7.0%
р	7	7.0%
а	5	5.0%
к	5	5.0%
С	5	5.0%
у	4	4.0%
о	4	4.0%
Other values (19)	31	31.0%

None

Value	Count	Frequency (%)
»	1	50.0%
«	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	273.8902439

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	691.5070857
Coefficient of variation (CV)	2.52475983
Kurtosis	2.851953774
Mean	273.8902439
Median Absolute Deviation (MAD)	0
Skewness	2.186852915
Sum	22459
Variance	478182.0495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	51	62.2%
2020	10	12.2%
4	5	6.1%
2	4	4.9%
3	3	3.7%
18	2	2.4%
9	1	1.2%
30	1	1.2%
7	1	1.2%
12	1	1.2%
Other values (3)	3	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	51	62.2%
2	4	4.9%
3	3	3.7%
4	5	6.1%
7	1	1.2%
9	1	1.2%
12	1	1.2%
18	2	2.4%
27	1	1.2%
30	1	1.2%

Value	Count	Frequency (%)
2020	10	12.2%
2019	1	1.2%
31	1	1.2%
30	1	1.2%
27	1	1.2%
18	2	2.4%
12	1	1.2%
9	1	1.2%
7	1	1.2%
4	5	6.1%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	46.2%
Missing	4
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	33.33333333

Minimum	1
Maximum	348
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	10
Q3	31.75
95-th percentile	110.05
Maximum	348
Range	347
Interquartile range (IQR)	26.75

Descriptive statistics

Standard deviation	66.70124644
Coefficient of variation (CV)	2.001037393
Kurtosis	13.53444224
Mean	33.33333333
Median Absolute Deviation (MAD)	7
Skewness	3.674838254
Sum	2600
Variance	4449.056277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
3	7	8.5%
1	5	6.1%
9	5	6.1%
7	4	4.9%
10	4	4.9%
2	4	4.9%
51	4	4.9%
11	4	4.9%
4	3	3.7%
6	3	3.7%
Other values (26)	35	42.7%
(Missing)	4	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	6.1%
2	4	4.9%
3	7	8.5%
4	3	3.7%
5	3	3.7%
6	3	3.7%
7	4	4.9%
8	2	2.4%
9	5	6.1%
10	4	4.9%

Value	Count	Frequency (%)
348	1	1.2%
312	1	1.2%
311	1	1.2%
235	1	1.2%
88	1	1.2%
85	1	1.2%
70	1	1.2%
65	1	1.2%
59	1	1.2%
53	1	1.2%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

regular	78
significant_special	3
insignificant_special	1

Length

Max length	21
Median length	7
Mean length	7.609756098
Min length	7

Characters and Unicode

Total characters	624
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	78	95.1%
significant_special	3	3.7%
insignificant_special	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	78	95.1%
significant_special	3	3.7%
insignificant_special	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	156	25.0%
a	86	13.8%
e	82	13.1%
g	82	13.1%
l	82	13.1%
u	78	12.5%
i	17	2.7%
n	9	1.4%
s	8	1.3%
c	8	1.3%
Other values (4)	16	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	620	99.4%
Connector Punctuation	4	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	156	25.2%
a	86	13.9%
e	82	13.2%
g	82	13.2%
l	82	13.2%
u	78	12.6%
i	17	2.7%
n	9	1.5%
s	8	1.3%
c	8	1.3%
Other values (3)	12	1.9%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	620	99.4%
Common	4	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	156	25.2%
a	86	13.9%
e	82	13.2%
g	82	13.2%
l	82	13.2%
u	78	12.6%
i	17	2.7%
n	9	1.5%
s	8	1.3%
c	8	1.3%
Other values (3)	12	1.9%

Common

Value	Count	Frequency (%)
_	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	624	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	156	25.0%
a	86	13.8%
e	82	13.1%
g	82	13.1%
l	82	13.1%
u	78	12.5%
i	17	2.7%
n	9	1.4%
s	8	1.3%
c	8	1.3%
Other values (4)	16	2.6%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

2020-12-21	82

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	820
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-21
2nd row	2020-12-21
3rd row	2020-12-21
4th row	2020-12-21
5th row	2020-12-21

Common Values

Value	Count	Frequency (%)
2020-12-21	82	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-21	82	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	328	40.0%
0	164	20.0%
-	164	20.0%
1	164	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	656	80.0%
Dash Punctuation	164	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	328	50.0%
0	164	25.0%
1	164	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	820	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	328	40.0%
0	164	20.0%
-	164	20.0%
1	164	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	328	40.0%
0	164	20.0%
-	164	20.0%
1	164	20.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

nan	52
20:00	16
10:00	4
12:00	2
21:00	2
Other values (6)	6

Length

Max length	5
Median length	3
Mean length	3.731707317
Min length	3

Characters and Unicode

Total characters	306
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	7.3%

Sample

1st row	10:00
2nd row	12:00
3rd row	nan
4th row	nan
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	52	63.4%
20:00	16	19.5%
10:00	4	4.9%
12:00	2	2.4%
21:00	2	2.4%
06:00	1	1.2%
18:30	1	1.2%
20:45	1	1.2%
00:00	1	1.2%
19:00	1	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	52	63.4%
20:00	16	19.5%
10:00	4	4.9%
12:00	2	2.4%
21:00	2	2.4%
06:00	1	1.2%
18:30	1	1.2%
20:45	1	1.2%
00:00	1	1.2%
19:00	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	104	34.0%
0	81	26.5%
a	52	17.0%
:	30	9.8%
2	22	7.2%
1	10	3.3%
3	2	0.7%
6	1	0.3%
8	1	0.3%
4	1	0.3%
Other values (2)	2	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	156	51.0%
Decimal Number	120	39.2%
Other Punctuation	30	9.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	81	67.5%
2	22	18.3%
1	10	8.3%
3	2	1.7%
6	1	0.8%
8	1	0.8%
4	1	0.8%
5	1	0.8%
9	1	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	104	66.7%
a	52	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	156	51.0%
Common	150	49.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	81	54.0%
:	30	20.0%
2	22	14.7%
1	10	6.7%
3	2	1.3%
6	1	0.7%
8	1	0.7%
4	1	0.7%
5	1	0.7%
9	1	0.7%

Latin

Value	Count	Frequency (%)
n	104	66.7%
a	52	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	306	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	104	34.0%
0	81	26.5%
a	52	17.0%
:	30	9.8%
2	22	7.2%
1	10	3.3%
3	2	0.7%
6	1	0.3%
8	1	0.3%
4	1	0.3%
Other values (2)	2	0.7%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	19
Distinct (%)	23.2%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

2020-12-21T12:00:00+00:00	49
2020-12-21T17:00:00+00:00	6
2020-12-21T04:00:00+00:00	5
2020-12-21T00:00:00+00:00	4
2020-12-21T02:00:00+00:00	3
Other values (14)	15

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2050
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	15.9%

Sample

1st row	2020-12-20T22:00:00+00:00
2nd row	2020-12-21T00:00:00+00:00
3rd row	2020-12-21T00:00:00+00:00
4th row	2020-12-21T00:00:00+00:00
5th row	2020-12-21T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-21T12:00:00+00:00	49	59.8%
2020-12-21T17:00:00+00:00	6	7.3%
2020-12-21T04:00:00+00:00	5	6.1%
2020-12-21T00:00:00+00:00	4	4.9%
2020-12-21T02:00:00+00:00	3	3.7%
2020-12-21T11:00:00+00:00	2	2.4%
2020-12-21T16:00:00+00:00	1	1.2%
2020-12-22T01:00:00+00:00	1	1.2%
2020-12-21T23:00:00+00:00	1	1.2%
2020-12-21T21:00:00+00:00	1	1.2%
Other values (9)	9	11.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-21t12:00:00+00:00	49	59.8%
2020-12-21t17:00:00+00:00	6	7.3%
2020-12-21t04:00:00+00:00	5	6.1%
2020-12-21t00:00:00+00:00	4	4.9%
2020-12-21t02:00:00+00:00	3	3.7%
2020-12-21t11:00:00+00:00	2	2.4%
2020-12-21t15:00:00+00:00	1	1.2%
2020-12-21t03:00:00+00:00	1	1.2%
2020-12-21t05:00:00+00:00	1	1.2%
2020-12-21t08:00:00+00:00	1	1.2%
Other values (9)	9	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	840	41.0%
2	388	18.9%
:	246	12.0%
1	226	11.0%
-	164	8.0%
T	82	4.0%
+	82	4.0%
7	6	0.3%
4	6	0.3%
3	3	0.1%
Other values (4)	7	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1476	72.0%
Other Punctuation	246	12.0%
Dash Punctuation	164	8.0%
Uppercase Letter	82	4.0%
Math Symbol	82	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	840	56.9%
2	388	26.3%
1	226	15.3%
7	6	0.4%
4	6	0.4%
3	3	0.2%
5	3	0.2%
9	2	0.1%
6	1	0.1%
8	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	246	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	164	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	82	100.0%

Math Symbol

Value	Count	Frequency (%)
+	82	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	96.0%
Latin	82	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	840	42.7%
2	388	19.7%
:	246	12.5%
1	226	11.5%
-	164	8.3%
+	82	4.2%
7	6	0.3%
4	6	0.3%
3	3	0.2%
5	3	0.2%
Other values (3)	4	0.2%

Latin

Value	Count	Frequency (%)
T	82	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	840	41.0%
2	388	18.9%
:	246	12.0%
1	226	11.0%
-	164	8.0%
T	82	4.0%
+	82	4.0%
7	6	0.3%
4	6	0.3%
3	3	0.1%
Other values (4)	7	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	29
Distinct (%)	36.7%
Missing	3
Missing (%)	3.7%
Infinite	0
Infinite (%)	0.0%
Mean	37.40506329

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	2
5-th percentile	4.9
Q1	15
median	29
Q3	45
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	32.9126735
Coefficient of variation (CV)	0.8798988853
Kurtosis	5.131646369
Mean	37.40506329
Median Absolute Deviation (MAD)	16
Skewness	2.063084831
Sum	2955
Variance	1083.244077
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
27	12	14.6%
45	9	11.0%
30	8	9.8%
7	5	6.1%
60	5	6.1%
120	4	4.9%
15	3	3.7%
11	3	3.7%
48	3	3.7%
2	2	2.4%
Other values (19)	25	30.5%
(Missing)	3	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.1%
10	2	2.4%
11	3	3.7%
12	2	2.4%
15	3	3.7%
18	1	1.2%
20	2	2.4%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	4	4.9%
90	1	1.2%
60	5	6.1%
55	1	1.2%
51	2	2.4%
50	1	1.2%
48	3	3.7%
45	9	11.0%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	14.6%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

nan	71
<p>Zero is moments away from achieving the ultimate power! Can Shatter Squad stop him in time? The clocks ticking... </p>	1
<p>Rachael Ray makes her own Chinese-style pork sausage for her oversized vegetable and protein omelets.</p>	1
<p>After Peter has brought his fiancée Grace to safety in New Zealand, he travels to Dublin, where Zora has ensured in his absence that Peter not only loses his share of the family empire, but also has to go to prison for infidelity. In return for a small favor, Vincent helps the Europol agent Neumann to put Tariq Bassari behind bars.</p>	1
<p>Zora believes her goals are within reach, but she did the math without Vincent. His force is now also supported by the former Europol agent Neumann, who left the agency disaffected. While Peter, Vincent and the others do everything they can to prevent the rocket launch, the Russian investors are sitting on Zora's neck and will not tolerate any delay.</p>	1
Other values (7)	7

Length

Max length	359
Median length	3
Mean length	27.17073171
Min length	3

Characters and Unicode

Total characters	2228
Distinct characters	58
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	13.4%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	71	86.6%
<p>Zero is moments away from achieving the ultimate power! Can Shatter Squad stop him in time? The clocks ticking... </p>	1	1.2%
<p>Rachael Ray makes her own Chinese-style pork sausage for her oversized vegetable and protein omelets.</p>	1	1.2%
<p>After Peter has brought his fiancée Grace to safety in New Zealand, he travels to Dublin, where Zora has ensured in his absence that Peter not only loses his share of the family empire, but also has to go to prison for infidelity. In return for a small favor, Vincent helps the Europol agent Neumann to put Tariq Bassari behind bars.</p>	1	1.2%
<p>Zora believes her goals are within reach, but she did the math without Vincent. His force is now also supported by the former Europol agent Neumann, who left the agency disaffected. While Peter, Vincent and the others do everything they can to prevent the rocket launch, the Russian investors are sitting on Zora's neck and will not tolerate any delay.</p>	1	1.2%
<p>Tan and Bun receive a strange visitor, Pat, on the night of his birthday. After a few drinks, Pat reveals his own theories behind Janejira's death. </p>	1	1.2%
<p>The three remaining contestants race to the second elimination point where a dramatic change occurs in the race.</p>	1	1.2%
<p>Heart struggles with a recent breakup. Jamie finds a connection to a podcaster, Win. </p>	1	1.2%
<p>James and Dale meet for the first time under less than favorable circumstances. But things could be looking up.</p>	1	1.2%
<p>Join Gus Sorola, Gavin Free, Drew Saplin, and Barbara Dunkelman as they discuss Drew's hate for the moon, astrology, climbing very tall mountains and bouncing, and more on this week's RT Podcast!</p>	1	1.2%
Other values (2)	2	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	71	17.8%
the	17	4.2%
and	13	3.2%
to	8	2.0%
a	8	2.0%
in	7	1.8%
his	6	1.5%
of	6	1.5%
for	5	1.2%
has	4	1.0%
Other values (222)	255	63.7%

Most occurring characters

Value	Count	Frequency (%)
	316	14.2%
n	266	11.9%
a	206	9.2%
e	189	8.5%
t	130	5.8%
o	110	4.9%
i	106	4.8%
r	101	4.5%
s	97	4.4%
h	78	3.5%
Other values (48)	629	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1719	77.2%
Space Separator	320	14.4%
Uppercase Letter	82	3.7%
Other Punctuation	61	2.7%
Math Symbol	44	2.0%
Dash Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	266	15.5%
a	206	12.0%
e	189	11.0%
t	130	7.6%
o	110	6.4%
i	106	6.2%
r	101	5.9%
s	97	5.6%
h	78	4.5%
l	58	3.4%
Other values (16)	378	22.0%

Uppercase Letter

Value	Count	Frequency (%)
S	11	13.4%
D	6	7.3%
B	6	7.3%
J	6	7.3%
P	6	7.3%
T	6	7.3%
Z	5	6.1%
W	4	4.9%
R	4	4.9%
C	4	4.9%
Other values (11)	24	29.3%

Other Punctuation

Value	Count	Frequency (%)
,	22	36.1%
.	19	31.1%
/	11	18.0%
'	6	9.8%
!	2	3.3%
?	1	1.6%

Space Separator

Value	Count	Frequency (%)
	316	98.8%
	4	1.2%

Math Symbol

Value	Count	Frequency (%)
>	22	50.0%
<	22	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1801	80.8%
Common	427	19.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	266	14.8%
a	206	11.4%
e	189	10.5%
t	130	7.2%
o	110	6.1%
i	106	5.9%
r	101	5.6%
s	97	5.4%
h	78	4.3%
l	58	3.2%
Other values (37)	460	25.5%

Common

Value	Count	Frequency (%)
	316	74.0%
>	22	5.2%
<	22	5.2%
,	22	5.2%
.	19	4.4%
/	11	2.6%
'	6	1.4%
	4	0.9%
!	2	0.5%
-	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2223	99.8%
None	5	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	316	14.2%
n	266	12.0%
a	206	9.3%
e	189	8.5%
t	130	5.8%
o	110	4.9%
i	106	4.8%
r	101	4.5%
s	97	4.4%
h	78	3.5%
Other values (46)	624	28.1%

None

Value	Count	Frequency (%)
	4	80.0%
é	1	20.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	55
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44156.58537

Minimum	802
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	802
5-th percentile	6147
Q1	42412
median	52222.5
Q3	52655
95-th percentile	58299.1
Maximum	61755
Range	60953
Interquartile range (IQR)	10243

Descriptive statistics

Standard deviation	16095.5427
Coefficient of variation (CV)	0.3645105835
Kurtosis	1.133232181
Mean	44156.58537
Median Absolute Deviation (MAD)	2463.5
Skewness	-1.573678419
Sum	3620840
Variance	259066494.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52655	12	14.6%
52479	5	6.1%
54541	3	3.7%
6147	2	2.4%
52524	2	2.4%
52159	2	2.4%
52104	2	2.4%
52781	2	2.4%
42412	2	2.4%
15250	2	2.4%
Other values (45)	48	58.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	1	1.2%
2504	1	1.2%
6090	1	1.2%
6146	1	1.2%
6147	2	2.4%
7241	1	1.2%
9815	1	1.2%
15250	2	2.4%
17584	1	1.2%
18971	1	1.2%

Value	Count	Frequency (%)
61755	1	1.2%
59555	1	1.2%
58821	1	1.2%
58426	1	1.2%
58367	1	1.2%
57009	1	1.2%
56655	1	1.2%
54762	2	2.4%
54610	1	1.2%
54541	3	3.7%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

https://www.tvmaze.com/shows/52655/the-case-solver	12
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3
https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	2
https://www.tvmaze.com/shows/52524/forever-love	2
Other values (50)	58

Length

Max length	67
Median length	61
Mean length	50.80487805
Min length	39

Characters and Unicode

Total characters	4166
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	51.2%

Sample

1st row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd row	https://www.tvmaze.com/shows/48683/ispoved
3rd row	https://www.tvmaze.com/shows/52181/volk
4th row	https://www.tvmaze.com/shows/52181/volk
5th row	https://www.tvmaze.com/shows/52520/muzskaa-tema

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52655/the-case-solver	12	14.6%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	6.1%
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3	3.7%
https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	2	2.4%
https://www.tvmaze.com/shows/52524/forever-love	2	2.4%
https://www.tvmaze.com/shows/52159/to-love	2	2.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.4%
https://www.tvmaze.com/shows/52781/love-script	2	2.4%
https://www.tvmaze.com/shows/42412/professionals	2	2.4%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.4%
Other values (45)	48	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52655/the-case-solver	12	14.6%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	6.1%
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3	3.7%
https://www.tvmaze.com/shows/42412/professionals	2	2.4%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	2.4%
https://www.tvmaze.com/shows/52181/volk	2	2.4%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.4%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian	2	2.4%
https://www.tvmaze.com/shows/52781/love-script	2	2.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.4%
Other values (45)	48	58.5%

Most occurring characters

Value	Count	Frequency (%)
/	410	9.8%
t	352	8.4%
w	347	8.3%
s	342	8.2%
o	257	6.2%
e	247	5.9%
h	214	5.1%
m	187	4.5%
a	170	4.1%
.	164	3.9%
Other values (30)	1476	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2950	70.8%
Other Punctuation	656	15.7%
Decimal Number	403	9.7%
Dash Punctuation	157	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	352	11.9%
w	347	11.8%
s	342	11.6%
o	257	8.7%
e	247	8.4%
h	214	7.3%
m	187	6.3%
a	170	5.8%
v	115	3.9%
c	111	3.8%
Other values (16)	608	20.6%

Decimal Number

Value	Count	Frequency (%)
5	104	25.8%
2	59	14.6%
4	51	12.7%
1	42	10.4%
6	39	9.7%
9	25	6.2%
7	25	6.2%
8	25	6.2%
0	21	5.2%
3	12	3.0%

Other Punctuation

Value	Count	Frequency (%)
/	410	62.5%
.	164	25.0%
:	82	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	157	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2950	70.8%
Common	1216	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	352	11.9%
w	347	11.8%
s	342	11.6%
o	257	8.7%
e	247	8.4%
h	214	7.3%
m	187	6.3%
a	170	5.8%
v	115	3.9%
c	111	3.8%
Other values (16)	608	20.6%

Common

Value	Count	Frequency (%)
/	410	33.7%
.	164	13.5%
-	157	12.9%
5	104	8.6%
:	82	6.7%
2	59	4.9%
4	51	4.2%
1	42	3.5%
6	39	3.2%
9	25	2.1%
Other values (4)	83	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	410	9.8%
t	352	8.4%
w	347	8.3%
s	342	8.2%
o	257	6.2%
e	247	5.9%
h	214	5.1%
m	187	4.5%
a	170	4.1%
.	164	3.9%
Other values (30)	1476	35.4%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

The Case Solver	12
Beauty and the Boss	5
God of Ten Thousand Realms	3
Rooster Teeth Animated Adventures	2
Forever Love	2
Other values (50)	58

Length

Max length	33
Median length	26
Mean length	16.01219512
Min length	4

Characters and Unicode

Total characters	1313
Distinct characters	86
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	51.2%

Sample

1st row	Обычная женщина
2nd row	Исповедь
3rd row	Волк
4th row	Волк
5th row	Мужская тема

Common Values

Value	Count	Frequency (%)
The Case Solver	12	14.6%
Beauty and the Boss	5	6.1%
God of Ten Thousand Realms	3	3.7%
Rooster Teeth Animated Adventures	2	2.4%
Forever Love	2	2.4%
To Love	2	2.4%
Twisted Fate of Love	2	2.4%
Love Script	2	2.4%
Professionals	2	2.4%
The Young Turks	2	2.4%
Other values (45)	48	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	25	10.4%
solver	12	5.0%
case	12	5.0%
of	11	4.6%
love	8	3.3%
and	6	2.5%
beauty	5	2.1%
boss	5	2.1%
ten	4	1.7%
rooster	3	1.2%
Other values (118)	149	62.1%

Most occurring characters

Value	Count	Frequency (%)
	158	12.0%
e	153	11.7%
o	80	6.1%
a	69	5.3%
s	65	5.0%
t	61	4.6%
n	58	4.4%
r	53	4.0%
h	48	3.7%
i	43	3.3%
Other values (76)	525	40.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	926	70.5%
Uppercase Letter	221	16.8%
Space Separator	158	12.0%
Other Punctuation	6	0.5%
Decimal Number	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	153	16.5%
o	80	8.6%
a	69	7.5%
s	65	7.0%
t	61	6.6%
n	58	6.3%
r	53	5.7%
h	48	5.2%
i	43	4.6%
d	41	4.4%
Other values (40)	255	27.5%

Uppercase Letter

Value	Count	Frequency (%)
T	42	19.0%
S	26	11.8%
B	17	7.7%
C	16	7.2%
R	14	6.3%
L	13	5.9%
W	11	5.0%
M	11	5.0%
A	11	5.0%
G	8	3.6%
Other values (19)	52	23.5%

Other Punctuation

Value	Count	Frequency (%)
.	2	33.3%
'	2	33.3%
,	1	16.7%
/	1	16.7%

Decimal Number

Value	Count	Frequency (%)
0	1	50.0%
3	1	50.0%

Space Separator

Value	Count	Frequency (%)
	158	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1069	81.4%
Common	166	12.6%
Cyrillic	78	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	153	14.3%
o	80	7.5%
a	69	6.5%
s	65	6.1%
t	61	5.7%
n	58	5.4%
r	53	5.0%
h	48	4.5%
i	43	4.0%
T	42	3.9%
Other values (40)	397	37.1%

Cyrillic

Value	Count	Frequency (%)
е	8	10.3%
н	7	9.0%
о	6	7.7%
а	6	7.7%
к	5	6.4%
В	4	5.1%
р	3	3.8%
и	3	3.8%
т	3	3.8%
п	3	3.8%
Other values (19)	30	38.5%

Common

Value	Count	Frequency (%)
	158	95.2%
.	2	1.2%
'	2	1.2%
,	1	0.6%
/	1	0.6%
0	1	0.6%
3	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1233	93.9%
Cyrillic	78	5.9%
None	2	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	158	12.8%
e	153	12.4%
o	80	6.5%
a	69	5.6%
s	65	5.3%
t	61	4.9%
n	58	4.7%
r	53	4.3%
h	48	3.9%
i	43	3.5%
Other values (45)	445	36.1%

Cyrillic

Value	Count	Frequency (%)
е	8	10.3%
н	7	9.0%
о	6	7.7%
а	6	7.7%
к	5	6.4%
В	4	5.1%
р	3	3.8%
и	3	3.8%
т	3	3.8%
п	3	3.8%
Other values (19)	30	38.5%

None

Value	Count	Frequency (%)
ø	1	50.0%
Ç	1	50.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	11.0%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

Scripted	50
Talk Show	8
Animation	7
Reality	5
Documentary	3
Other values (4)	9

Length

Max length	11
Median length	8
Mean length	8.012195122
Min length	4

Characters and Unicode

Total characters	657
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	Scripted
2nd row	Documentary
3rd row	Scripted
4th row	Scripted
5th row	Talk Show

Common Values

Value	Count	Frequency (%)
Scripted	50	61.0%
Talk Show	8	9.8%
Animation	7	8.5%
Reality	5	6.1%
Documentary	3	3.7%
Variety	3	3.7%
News	3	3.7%
Sports	2	2.4%
Game Show	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	50	54.9%
show	9	9.9%
talk	8	8.8%
animation	7	7.7%
reality	5	5.5%
documentary	3	3.3%
variety	3	3.3%
news	3	3.3%
sports	2	2.2%
game	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
i	72	11.0%
t	70	10.7%
e	65	9.9%
S	61	9.3%
r	58	8.8%
c	53	8.1%
p	52	7.9%
d	50	7.6%
a	27	4.1%
o	21	3.2%
Other values (17)	128	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	557	84.8%
Uppercase Letter	91	13.9%
Space Separator	9	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	72	12.9%
t	70	12.6%
e	65	11.7%
r	58	10.4%
c	53	9.5%
p	52	9.3%
d	50	9.0%
a	27	4.8%
o	21	3.8%
n	17	3.1%
Other values (8)	72	12.9%

Uppercase Letter

Value	Count	Frequency (%)
S	61	67.0%
T	8	8.8%
A	7	7.7%
R	5	5.5%
D	3	3.3%
V	3	3.3%
N	3	3.3%
G	1	1.1%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	648	98.6%
Common	9	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	72	11.1%
t	70	10.8%
e	65	10.0%
S	61	9.4%
r	58	9.0%
c	53	8.2%
p	52	8.0%
d	50	7.7%
a	27	4.2%
o	21	3.2%
Other values (16)	119	18.4%

Common

Value	Count	Frequency (%)
	9	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	657	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	72	11.0%
t	70	10.7%
e	65	9.9%
S	61	9.3%
r	58	8.8%
c	53	8.1%
p	52	7.9%
d	50	7.6%
a	27	4.1%
o	21	3.2%
Other values (17)	128	19.5%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	19.5%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

Chinese	33
English	22
Russian	8
Norwegian	4
Korean	2
Other values (11)	13

Length

Max length	10
Median length	7
Mean length	6.951219512
Min length	3

Characters and Unicode

Total characters	570
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	11.0%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
Chinese	33	40.2%
English	22	26.8%
Russian	8	9.8%
Norwegian	4	4.9%
Korean	2	2.4%
Thai	2	2.4%
Tagalog	2	2.4%
Japanese	1	1.2%
Polish	1	1.2%
Spanish	1	1.2%
Other values (6)	6	7.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	33	40.2%
english	22	26.8%
russian	8	9.8%
norwegian	4	4.9%
korean	2	2.4%
thai	2	2.4%
tagalog	2	2.4%
japanese	1	1.2%
polish	1	1.2%
spanish	1	1.2%
Other values (6)	6	7.3%

Most occurring characters

Value	Count	Frequency (%)
i	76	13.3%
n	76	13.3%
s	75	13.2%
e	74	13.0%
h	62	10.9%
C	33	5.8%
g	30	5.3%
a	29	5.1%
l	25	4.4%
E	22	3.9%
Other values (20)	68	11.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	489	85.8%
Uppercase Letter	81	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	76	15.5%
n	76	15.5%
s	75	15.3%
e	74	15.1%
h	62	12.7%
g	30	6.1%
a	29	5.9%
l	25	5.1%
u	11	2.2%
o	9	1.8%
Other values (8)	22	4.5%

Uppercase Letter

Value	Count	Frequency (%)
C	33	40.7%
E	22	27.2%
R	8	9.9%
T	5	6.2%
N	4	4.9%
K	2	2.5%
L	2	2.5%
J	1	1.2%
P	1	1.2%
S	1	1.2%
Other values (2)	2	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	570	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	76	13.3%
n	76	13.3%
s	75	13.2%
e	74	13.0%
h	62	10.9%
C	33	5.8%
g	30	5.3%
a	29	5.1%
l	25	4.4%
E	22	3.9%
Other values (20)	68	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	76	13.3%
n	76	13.3%
s	75	13.2%
e	74	13.0%
h	62	10.9%
C	33	5.8%
g	30	5.3%
a	29	5.1%
l	25	4.4%
E	22	3.9%
Other values (20)	68	11.9%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

[]	23
['Drama', 'Romance']	13
['Crime']	12
['Comedy']	7
['Drama', 'Romance', 'History']	4
Other values (16)	23

Length

Max length	33
Median length	31
Mean length	15.20731707
Min length	2

Characters and Unicode

Total characters	1247
Distinct characters	31
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	12.2%

Sample

1st row	['Drama', 'Crime', 'Mystery']
2nd row	[]
3rd row	['Drama', 'Adventure', 'Mystery']
4th row	['Drama', 'Adventure', 'Mystery']
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	23	28.0%
['Drama', 'Romance']	13	15.9%
['Crime']	12	14.6%
['Comedy']	7	8.5%
['Drama', 'Romance', 'History']	4	4.9%
['Adventure', 'Anime', 'Fantasy']	3	3.7%
['Crime', 'Thriller', 'Mystery']	2	2.4%
['Drama', 'Adventure', 'Mystery']	2	2.4%
['Drama', 'Fantasy']	2	2.4%
['Drama', 'Comedy', 'Romance']	2	2.4%
Other values (11)	12	14.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	31	21.8%
	23	16.2%
romance	21	14.8%
crime	18	12.7%
comedy	11	7.7%
adventure	6	4.2%
fantasy	6	4.2%
thriller	5	3.5%
mystery	5	3.5%
history	4	2.8%
Other values (6)	12	8.5%

Most occurring characters

Value	Count	Frequency (%)
'	238	19.1%
a	96	7.7%
m	86	6.9%
[	82	6.6%
]	82	6.6%
e	77	6.2%
r	76	6.1%
,	60	4.8%
	60	4.8%
o	43	3.4%
Other values (21)	347	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	606	48.6%
Other Punctuation	298	23.9%
Uppercase Letter	119	9.5%
Open Punctuation	82	6.6%
Close Punctuation	82	6.6%
Space Separator	60	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	96	15.8%
m	86	14.2%
e	77	12.7%
r	76	12.5%
o	43	7.1%
n	42	6.9%
i	37	6.1%
y	32	5.3%
t	26	4.3%
c	25	4.1%
Other values (7)	66	10.9%

Uppercase Letter

Value	Count	Frequency (%)
D	31	26.1%
C	30	25.2%
R	21	17.6%
A	14	11.8%
F	8	6.7%
T	5	4.2%
M	5	4.2%
H	4	3.4%
S	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
'	238	79.9%
,	60	20.1%

Open Punctuation

Value	Count	Frequency (%)
[	82	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	82	100.0%

Space Separator

Value	Count	Frequency (%)
	60	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	725	58.1%
Common	522	41.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	96	13.2%
m	86	11.9%
e	77	10.6%
r	76	10.5%
o	43	5.9%
n	42	5.8%
i	37	5.1%
y	32	4.4%
D	31	4.3%
C	30	4.1%
Other values (16)	175	24.1%

Common

Value	Count	Frequency (%)
'	238	45.6%
[	82	15.7%
]	82	15.7%
,	60	11.5%
	60	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	238	19.1%
a	96	7.7%
m	86	6.9%
[	82	6.6%
]	82	6.6%
e	77	6.2%
r	76	6.1%
,	60	4.8%
	60	4.8%
o	43	3.4%
Other values (21)	347	27.8%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

Running	44
Ended	32
To Be Determined	6

Length

Max length	16
Median length	7
Mean length	6.87804878
Min length	5

Characters and Unicode

Total characters	564
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Ended
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	44	53.7%
Ended	32	39.0%
To Be Determined	6	7.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	44	46.8%
ended	32	34.0%
to	6	6.4%
be	6	6.4%
determined	6	6.4%

Most occurring characters

Value	Count	Frequency (%)
n	170	30.1%
d	70	12.4%
e	56	9.9%
i	50	8.9%
R	44	7.8%
u	44	7.8%
g	44	7.8%
E	32	5.7%
	12	2.1%
T	6	1.1%
Other values (6)	36	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	458	81.2%
Uppercase Letter	94	16.7%
Space Separator	12	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	170	37.1%
d	70	15.3%
e	56	12.2%
i	50	10.9%
u	44	9.6%
g	44	9.6%
o	6	1.3%
t	6	1.3%
r	6	1.3%
m	6	1.3%

Uppercase Letter

Value	Count	Frequency (%)
R	44	46.8%
E	32	34.0%
T	6	6.4%
B	6	6.4%
D	6	6.4%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	552	97.9%
Common	12	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	170	30.8%
d	70	12.7%
e	56	10.1%
i	50	9.1%
R	44	8.0%
u	44	8.0%
g	44	8.0%
E	32	5.8%
T	6	1.1%
o	6	1.1%
Other values (5)	30	5.4%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	170	30.1%
d	70	12.4%
e	56	9.9%
i	50	8.9%
R	44	7.8%
u	44	7.8%
g	44	7.8%
E	32	5.7%
	12	2.1%
T	6	1.1%
Other values (6)	36	6.4%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	23
Distinct (%)	30.3%
Missing	6
Missing (%)	7.3%
Infinite	0
Infinite (%)	0.0%
Mean	38.38157895

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	2
5-th percentile	4.75
Q1	18.75
median	30
Q3	48
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	29.25

Descriptive statistics

Standard deviation	33.40337991
Coefficient of variation (CV)	0.8702971797
Kurtosis	4.734263691
Mean	38.38157895
Median Absolute Deviation (MAD)	15
Skewness	1.978268747
Sum	2917
Variance	1115.785789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
27	12	14.6%
30	9	11.0%
45	9	11.0%
60	6	7.3%
7	5	6.1%
120	4	4.9%
48	3	3.7%
15	3	3.7%
50	3	3.7%
20	3	3.7%
Other values (13)	19	23.2%
(Missing)	6	7.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.1%
8	1	1.2%
10	3	3.7%
12	1	1.2%
15	3	3.7%
20	3	3.7%
22	1	1.2%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	4	4.9%
90	1	1.2%
60	6	7.3%
51	2	2.4%
50	3	3.7%
48	3	3.7%
45	9	11.0%
30	9	11.0%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	34.6%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	36.80246914

Minimum	2
Maximum	181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	15
median	27
Q3	45
95-th percentile	120
Maximum	181
Range	179
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	32.43663814
Coefficient of variation (CV)	0.8813712477
Kurtosis	5.324969945
Mean	36.80246914
Median Absolute Deviation (MAD)	18
Skewness	2.054494069
Sum	2981
Variance	1052.135494
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
27	12	14.6%
45	9	11.0%
30	7	8.5%
60	5	6.1%
7	5	6.1%
25	4	4.9%
15	3	3.7%
120	3	3.7%
48	3	3.7%
20	3	3.7%
Other values (18)	27	32.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.1%
9	2	2.4%
10	3	3.7%
11	1	1.2%
12	2	2.4%
14	1	1.2%
15	3	3.7%

Value	Count	Frequency (%)
181	1	1.2%
130	1	1.2%
120	3	3.7%
97	1	1.2%
90	1	1.2%
77	1	1.2%
60	5	6.1%
50	3	3.7%
48	3	3.7%
47	1	1.2%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	44
Distinct (%)	53.7%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

2020-12-21	19
2020-12-14	8
2020-11-23	5
2020-12-07	4
2020-11-30	2
Other values (39)	44

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	820
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	41.5%

Sample

1st row	2018-10-29
2nd row	2020-05-11
3rd row	2020-12-07
4th row	2020-12-07
5th row	2020-12-17

Common Values

Value	Count	Frequency (%)
2020-12-21	19	23.2%
2020-12-14	8	9.8%
2020-11-23	5	6.1%
2020-12-07	4	4.9%
2020-11-30	2	2.4%
2011-09-28	2	2.4%
2020-12-20	2	2.4%
2013-12-24	2	2.4%
2020-11-19	2	2.4%
2020-12-13	2	2.4%
Other values (34)	34	41.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-21	19	23.2%
2020-12-14	8	9.8%
2020-11-23	5	6.1%
2020-12-07	4	4.9%
2013-12-24	2	2.4%
2020-12-13	2	2.4%
2020-11-19	2	2.4%
2020-12-20	2	2.4%
2011-09-28	2	2.4%
2020-11-30	2	2.4%
Other values (34)	34	41.5%

Most occurring characters

Value	Count	Frequency (%)
2	216	26.3%
0	190	23.2%
-	164	20.0%
1	153	18.7%
9	20	2.4%
4	19	2.3%
3	19	2.3%
8	13	1.6%
7	12	1.5%
5	9	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	656	80.0%
Dash Punctuation	164	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	216	32.9%
0	190	29.0%
1	153	23.3%
9	20	3.0%
4	19	2.9%
3	19	2.9%
8	13	2.0%
7	12	1.8%
5	9	1.4%
6	5	0.8%

Dash Punctuation

Value	Count	Frequency (%)
-	164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	820	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	216	26.3%
0	190	23.2%
-	164	20.0%
1	153	18.7%
9	20	2.4%
4	19	2.3%
3	19	2.3%
8	13	1.6%
7	12	1.5%
5	9	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	216	26.3%
0	190	23.2%
-	164	20.0%
1	153	18.7%
9	20	2.4%
4	19	2.3%
3	19	2.3%
8	13	1.6%
7	12	1.5%
5	9	1.1%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	20.7%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

nan	50
2021-01-18	7
2020-12-28	3
2021-01-25	3
2020-12-23	2
Other values (12)	17

Length

Max length	10
Median length	3
Mean length	5.731707317
Min length	3

Characters and Unicode

Total characters	470
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.5%

Sample

1st row	2021-01-07
2nd row	2021-02-08
3rd row	2020-12-28
4th row	2020-12-28
5th row	2020-12-25

Common Values

Value	Count	Frequency (%)
nan	50	61.0%
2021-01-18	7	8.5%
2020-12-28	3	3.7%
2021-01-25	3	3.7%
2020-12-23	2	2.4%
2020-12-31	2	2.4%
2020-12-22	2	2.4%
2021-01-05	2	2.4%
2020-12-21	2	2.4%
2020-12-30	2	2.4%
Other values (7)	7	8.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	50	61.0%
2021-01-18	7	8.5%
2020-12-28	3	3.7%
2021-01-25	3	3.7%
2021-01-05	2	2.4%
2020-12-30	2	2.4%
2020-12-21	2	2.4%
2020-12-22	2	2.4%
2020-12-31	2	2.4%
2020-12-23	2	2.4%
Other values (7)	7	8.5%

Most occurring characters

Value	Count	Frequency (%)
2	101	21.5%
n	100	21.3%
0	71	15.1%
-	64	13.6%
1	56	11.9%
a	50	10.6%
8	11	2.3%
5	6	1.3%
3	6	1.3%
6	2	0.4%
Other values (2)	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	256	54.5%
Lowercase Letter	150	31.9%
Dash Punctuation	64	13.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	101	39.5%
0	71	27.7%
1	56	21.9%
8	11	4.3%
5	6	2.3%
3	6	2.3%
6	2	0.8%
7	2	0.8%
4	1	0.4%

Lowercase Letter

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	320	68.1%
Latin	150	31.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	101	31.6%
0	71	22.2%
-	64	20.0%
1	56	17.5%
8	11	3.4%
5	6	1.9%
3	6	1.9%
6	2	0.6%
7	2	0.6%
4	1	0.3%

Latin

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	101	21.5%
n	100	21.3%
0	71	15.1%
-	64	13.6%
1	56	11.9%
a	50	10.6%
8	11	2.3%
5	6	1.3%
3	6	1.3%
6	2	0.4%
Other values (2)	3	0.6%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	62.2%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

https://www.iqiyi.com/a_c4m3iuc94t.html	12
nan	7
https://programme.mytvsuper.com/tc/130336/	5
https://v.qq.com/detail/m/mzc002007995z4v.html	3
https://roosterteeth.com/series/rt-animated-adventures	2
Other values (46)	53

Length

Max length	105
Median length	77
Mean length	44.7195122
Min length	3

Characters and Unicode

Total characters	3667
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	47.6%

Sample

1st row	https://premier.one/show/8405
2nd row	https://premier.one/collections/134
3rd row	https://premier.one/show/12339
4th row	https://premier.one/show/12339
5th row	https://www.ivi.ru/watch/muzhskaya-tema

Common Values

Value	Count	Frequency (%)
https://www.iqiyi.com/a_c4m3iuc94t.html	12	14.6%
nan	7	8.5%
https://programme.mytvsuper.com/tc/130336/	5	6.1%
https://v.qq.com/detail/m/mzc002007995z4v.html	3	3.7%
https://roosterteeth.com/series/rt-animated-adventures	2	2.4%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.4%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.4%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.4%
https://viaplay.no/serier/professionals	2	2.4%
https://www.tytnetwork.com	2	2.4%
Other values (41)	43	52.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.iqiyi.com/a_c4m3iuc94t.html	12	14.6%
nan	7	8.5%
https://programme.mytvsuper.com/tc/130336	5	6.1%
https://v.qq.com/detail/m/mzc002007995z4v.html	3	3.7%
https://viaplay.no/serier/professionals	2	2.4%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	2.4%
https://www.tytnetwork.com	2	2.4%
https://premier.one/show/12339	2	2.4%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.4%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.4%
Other values (41)	43	52.4%

Most occurring characters

Value	Count	Frequency (%)
/	299	8.2%
t	296	8.1%
s	174	4.7%
.	162	4.4%
e	162	4.4%
o	155	4.2%
m	147	4.0%
h	147	4.0%
w	139	3.8%
c	128	3.5%
Other values (65)	1858	50.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2382	65.0%
Other Punctuation	616	16.8%
Decimal Number	394	10.7%
Uppercase Letter	182	5.0%
Dash Punctuation	41	1.1%
Connector Punctuation	27	0.7%
Math Symbol	25	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	296	12.4%
s	174	7.3%
e	162	6.8%
o	155	6.5%
m	147	6.2%
h	147	6.2%
w	139	5.8%
c	128	5.4%
p	123	5.2%
i	121	5.1%
Other values (16)	790	33.2%

Uppercase Letter

Value	Count	Frequency (%)
E	22	12.1%
B	15	8.2%
P	13	7.1%
C	12	6.6%
D	11	6.0%
U	11	6.0%
A	10	5.5%
M	9	4.9%
S	8	4.4%
J	7	3.8%
Other values (16)	64	35.2%

Decimal Number

Value	Count	Frequency (%)
4	62	15.7%
0	56	14.2%
3	54	13.7%
9	46	11.7%
1	44	11.2%
2	34	8.6%
5	31	7.9%
8	24	6.1%
6	22	5.6%
7	21	5.3%

Other Punctuation

Value	Count	Frequency (%)
/	299	48.5%
.	162	26.3%
:	75	12.2%
%	57	9.3%
?	11	1.8%
&	8	1.3%
,	2	0.3%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	23	92.0%
+	2	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	41	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2564	69.9%
Common	1103	30.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	296	11.5%
s	174	6.8%
e	162	6.3%
o	155	6.0%
m	147	5.7%
h	147	5.7%
w	139	5.4%
c	128	5.0%
p	123	4.8%
i	121	4.7%
Other values (42)	972	37.9%

Common

Value	Count	Frequency (%)
/	299	27.1%
.	162	14.7%
:	75	6.8%
4	62	5.6%
%	57	5.2%
0	56	5.1%
3	54	4.9%
9	46	4.2%
1	44	4.0%
-	41	3.7%
Other values (13)	207	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3667	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	299	8.2%
t	296	8.1%
s	174	4.7%
.	162	4.4%
e	162	4.4%
o	155	4.2%
m	147	4.0%
h	147	4.0%
w	139	3.8%
c	128	3.5%
Other values (65)	1858	50.7%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	47.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.56097561

Minimum	2
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	2
5-th percentile	6
Q1	18.5
median	30
Q3	43.5
95-th percentile	84.9
Maximum	97
Range	95
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	23.73729553
Coefficient of variation (CV)	0.649252246
Kurtosis	0.1492099988
Mean	36.56097561
Median Absolute Deviation (MAD)	12
Skewness	0.947679119
Sum	2998
Variance	563.459199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
34	12	14.6%
15	8	9.8%
25	4	4.9%
65	4	4.9%
30	4	4.9%
6	3	3.7%
27	3	3.7%
28	3	3.7%
17	3	3.7%
29	3	3.7%
Other values (29)	35	42.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
3	1	1.2%
6	3	3.7%
10	1	1.2%
14	1	1.2%
15	8	9.8%
17	3	3.7%
18	2	2.4%
20	1	1.2%
22	2	2.4%

Value	Count	Frequency (%)
97	2	2.4%
94	1	1.2%
87	1	1.2%
85	1	1.2%
83	1	1.2%
77	1	1.2%
75	1	1.2%
73	1	1.2%
72	1	1.2%
67	2	2.4%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

nan	82

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	246
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	82	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	82	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	246	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	246	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	50
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	12
nan	11
<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	3
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2
<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	2
Other values (45)	52

Length

Max length	913
Median length	584
Mean length	327.9878049
Min length	3

Characters and Unicode

Total characters	26895
Distinct characters	95
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	46.3%

Sample

1st row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row	<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>
3rd row	nan
4th row	nan
5th row	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>

Common Values

Value	Count	Frequency (%)
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	12	14.6%
nan	11	13.4%
<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	3	3.7%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.4%
<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	2	2.4%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>	2	2.4%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	2	2.4%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2	2.4%
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>	2	2.4%
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>	2	2.4%
Other values (40)	42	51.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	315	7.0%
and	181	4.0%
of	161	3.6%
a	131	2.9%
to	128	2.8%
in	124	2.8%
with	52	1.2%
is	48	1.1%
that	36	0.8%
are	27	0.6%
Other values (1315)	3293	73.2%

Most occurring characters

Value	Count	Frequency (%)
	4404	16.4%
e	2605	9.7%
t	1873	7.0%
a	1712	6.4%
n	1684	6.3%
o	1552	5.8%
i	1414	5.3%
r	1340	5.0%
s	1140	4.2%
h	1048	3.9%
Other values (85)	8123	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20367	75.7%
Space Separator	4414	16.4%
Uppercase Letter	904	3.4%
Other Punctuation	682	2.5%
Math Symbol	404	1.5%
Decimal Number	62	0.2%
Dash Punctuation	41	0.2%
Open Punctuation	10	< 0.1%
Close Punctuation	10	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2605	12.8%
t	1873	9.2%
a	1712	8.4%
n	1684	8.3%
o	1552	7.6%
i	1414	6.9%
r	1340	6.6%
s	1140	5.6%
h	1048	5.1%
d	772	3.8%
Other values (30)	5227	25.7%

Uppercase Letter

Value	Count	Frequency (%)
S	90	10.0%
T	77	8.5%
Y	76	8.4%
C	62	6.9%
R	47	5.2%
I	44	4.9%
W	42	4.6%
A	42	4.6%
D	41	4.5%
M	36	4.0%
Other values (17)	347	38.4%

Other Punctuation

Value	Count	Frequency (%)
,	252	37.0%
.	218	32.0%
/	104	15.2%
"	46	6.7%
'	41	6.0%
:	10	1.5%
!	7	1.0%
?	2	0.3%
&	1	0.1%
;	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	15	24.2%
2	14	22.6%
1	11	17.7%
9	7	11.3%
3	5	8.1%
8	3	4.8%
5	3	4.8%
7	2	3.2%
6	2	3.2%

Space Separator

Value	Count	Frequency (%)
	4404	99.8%
	10	0.2%

Math Symbol

Value	Count	Frequency (%)
<	202	50.0%
>	202	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	80.5%
—	8	19.5%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21260	79.0%
Common	5624	20.9%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2605	12.3%
t	1873	8.8%
a	1712	8.1%
n	1684	7.9%
o	1552	7.3%
i	1414	6.7%
r	1340	6.3%
s	1140	5.4%
h	1048	4.9%
d	772	3.6%
Other values (47)	6120	28.8%

Common

Value	Count	Frequency (%)
	4404	78.3%
,	252	4.5%
.	218	3.9%
<	202	3.6%
>	202	3.6%
/	104	1.8%
"	46	0.8%
'	41	0.7%
-	33	0.6%
0	15	0.3%
Other values (18)	107	1.9%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
я	1	9.1%
м	1	9.1%
е	1	9.1%
т	1	9.1%
у	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
М	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26859	99.9%
None	17	0.1%
Cyrillic	11	< 0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4404	16.4%
e	2605	9.7%
t	1873	7.0%
a	1712	6.4%
n	1684	6.3%
o	1552	5.8%
i	1414	5.3%
r	1340	5.0%
s	1140	4.2%
h	1048	3.9%
Other values (68)	8087	30.1%

None

Value	Count	Frequency (%)
	10	58.8%
é	3	17.6%
å	1	5.9%
ı	1	5.9%
ç	1	5.9%
ā	1	5.9%

Punctuation

Value	Count	Frequency (%)
—	8	100.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
я	1	9.1%
м	1	9.1%
е	1	9.1%
т	1	9.1%
у	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
М	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1631578281

Minimum	1608523612
Maximum	1652004708
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	784.0 B

Quantile statistics

Minimum	1608523612
5-th percentile	1609118201
Q1	1611538948
median	1640144118
Q3	1648190058
95-th percentile	1651776644
Maximum	1652004708
Range	43481096
Interquartile range (IQR)	36651110

Descriptive statistics

Standard deviation	17723640.28
Coefficient of variation (CV)	0.01086288073
Kurtosis	-1.790094124
Mean	1631578281
Median Absolute Deviation (MAD)	11424672
Skewness	-0.249663216
Sum	1.337894191 × 10¹¹
Variance	3.141274248 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1609118201	12	14.6%
1611538948	5	6.1%
1642689319	3	3.7%
1649262439	2	2.4%
1612478145	2	2.4%
1609060726	2	2.4%
1609535141	2	2.4%
1615451069	2	2.4%
1652004708	2	2.4%
1648190058	2	2.4%
Other values (45)	48	58.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1608523612	1	1.2%
1609060726	2	2.4%
1609118201	12	14.6%
1609535141	2	2.4%
1610110841	1	1.2%
1611436842	1	1.2%
1611538948	5	6.1%
1611725713	1	1.2%
1612478145	2	2.4%
1613088348	1	1.2%

Value	Count	Frequency (%)
1652004708	2	2.4%
1651933209	1	1.2%
1651838647	1	1.2%
1651777316	1	1.2%
1651763872	1	1.2%
1651570316	1	1.2%
1651567264	1	1.2%
1651502593	1	1.2%
1651429337	1	1.2%
1650983676	1	1.2%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	82
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	784.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/1998676	1
https://api.tvmaze.com/episodes/1998674	1
https://api.tvmaze.com/episodes/1998673	1
https://api.tvmaze.com/episodes/1997815	1
Other values (77)	77

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3198
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/1998676	1	1.2%
https://api.tvmaze.com/episodes/1998674	1	1.2%
https://api.tvmaze.com/episodes/1998673	1	1.2%
https://api.tvmaze.com/episodes/1997815	1	1.2%
https://api.tvmaze.com/episodes/1997814	1	1.2%
https://api.tvmaze.com/episodes/2083331	1	1.2%
https://api.tvmaze.com/episodes/1950369	1	1.2%
https://api.tvmaze.com/episodes/2092729	1	1.2%
https://api.tvmaze.com/episodes/1996798	1	1.2%
Other values (72)	72	87.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/1998609	1	1.2%
https://api.tvmaze.com/episodes/1995405	1	1.2%
https://api.tvmaze.com/episodes/2007760	1	1.2%
https://api.tvmaze.com/episodes/1985789	1	1.2%
https://api.tvmaze.com/episodes/2039622	1	1.2%
https://api.tvmaze.com/episodes/2039623	1	1.2%
https://api.tvmaze.com/episodes/2324427	1	1.2%
https://api.tvmaze.com/episodes/2324428	1	1.2%
https://api.tvmaze.com/episodes/2324429	1	1.2%
Other values (72)	72	87.8%

Most occurring characters

Value	Count	Frequency (%)
/	328	10.3%
p	246	7.7%
s	246	7.7%
e	246	7.7%
t	246	7.7%
o	164	5.1%
a	164	5.1%
i	164	5.1%
.	164	5.1%
m	164	5.1%
Other values (16)	1066	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2050	64.1%
Other Punctuation	574	17.9%
Decimal Number	574	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	246	12.0%
s	246	12.0%
e	246	12.0%
t	246	12.0%
o	164	8.0%
a	164	8.0%
i	164	8.0%
m	164	8.0%
h	82	4.0%
d	82	4.0%
Other values (3)	246	12.0%

Decimal Number

Value	Count	Frequency (%)
9	104	18.1%
2	90	15.7%
1	77	13.4%
3	55	9.6%
0	50	8.7%
8	49	8.5%
6	41	7.1%
4	40	7.0%
7	36	6.3%
5	32	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	328	57.1%
.	164	28.6%
:	82	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2050	64.1%
Common	1148	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	328	28.6%
.	164	14.3%
9	104	9.1%
2	90	7.8%
:	82	7.1%
1	77	6.7%
3	55	4.8%
0	50	4.4%
8	49	4.3%
6	41	3.6%
Other values (3)	108	9.4%

Latin

Value	Count	Frequency (%)
p	246	12.0%
s	246	12.0%
e	246	12.0%
t	246	12.0%
o	164	8.0%
a	164	8.0%
i	164	8.0%
m	164	8.0%
h	82	4.0%
d	82	4.0%
Other values (3)	246	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3198	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	328	10.3%
p	246	7.7%
s	246	7.7%
e	246	7.7%
t	246	7.7%
o	164	5.1%
a	164	5.1%
i	164	5.1%
.	164	5.1%
m	164	5.1%
Other values (16)	1066	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1977899	https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	Серия 12	2.0	3.0	regular	2020-12-21	10:00	2020-12-20T22:00:00+00:00	55.0	nan	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	['Drama', 'Crime', 'Mystery']	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	36.0	nan	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1.610111e+09	https://api.tvmaze.com/episodes/1977902
1	2164195	https://www.tvmaze.com/episodes/2164195/ispoved-1x09-viktoria-bona	Виктория Боня	1.0	9.0	regular	2020-12-21	12:00	2020-12-21T00:00:00+00:00	48.0	nan	48683	https://www.tvmaze.com/shows/48683/ispoved	Исповедь	Documentary	Russian	[]	Ended	48.0	47.0	2020-05-11	2021-02-08	https://premier.one/collections/134	2.0	nan	<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>	1.637062e+09	https://api.tvmaze.com/episodes/2015818
2	1982407	https://www.tvmaze.com/episodes/1982407/volk-1x09-seria-09	Серия 09	1.0	9.0	regular	2020-12-21	nan	2020-12-21T00:00:00+00:00	51.0	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/1964000
3	1982408	https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10	Серия 10	1.0	10.0	regular	2020-12-21	nan	2020-12-21T00:00:00+00:00	51.0	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/1995405
4	1988014	https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3	Серия 3	1.0	3.0	regular	2020-12-21	12:00	2020-12-21T00:00:00+00:00	30.0	nan	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	3.0	nan	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1.616723e+09	https://api.tvmaze.com/episodes/2007760
5	2062926	https://www.tvmaze.com/episodes/2062926/god-of-ten-thousand-realms-1x01-episode-1	Episode 1	1.0	1.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	nan	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	['Adventure', 'Anime', 'Fantasy']	Running	7.0	7.0	2020-12-21	nan	https://v.qq.com/detail/m/mzc002007995z4v.html	65.0	nan	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1.642689e+09	https://api.tvmaze.com/episodes/1985789
6	2062927	https://www.tvmaze.com/episodes/2062927/god-of-ten-thousand-realms-1x02-episode-2	Episode 2	1.0	2.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	nan	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	['Adventure', 'Anime', 'Fantasy']	Running	7.0	7.0	2020-12-21	nan	https://v.qq.com/detail/m/mzc002007995z4v.html	65.0	nan	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1.642689e+09	https://api.tvmaze.com/episodes/2039622
7	2062928	https://www.tvmaze.com/episodes/2062928/god-of-ten-thousand-realms-1x03-episode-3	Episode 3	1.0	3.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	nan	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	['Adventure', 'Anime', 'Fantasy']	Running	7.0	7.0	2020-12-21	nan	https://v.qq.com/detail/m/mzc002007995z4v.html	65.0	nan	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1.642689e+09	https://api.tvmaze.com/episodes/2039623
8	2140388	https://www.tvmaze.com/episodes/2140388/going-seventeen-2020-12-21-going-vs-seventeen-2	GOING VS SEVENTEEN #2	2020.0	43.0	regular	2020-12-21	nan	2020-12-21T03:00:00+00:00	30.0	nan	56655	https://www.tvmaze.com/shows/56655/going-seventeen	Going Seventeen	Variety	Korean	[]	Running	30.0	30.0	2017-06-12	nan	nan	18.0	nan	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>	1.651764e+09	https://api.tvmaze.com/episodes/2324427
9	2005748	https://www.tvmaze.com/episodes/2005748/legend-of-yun-qian-1x01-episode-1	Episode 1	1.0	1.0	regular	2020-12-21	nan	2020-12-21T04:00:00+00:00	4.0	nan	52898	https://www.tvmaze.com/shows/52898/legend-of-yun-qian	Legend of Yun Qian	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	4.0	4.0	2020-12-21	2020-12-31	nan	67.0	nan	<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>	1.649956e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
72	1995452	https://www.tvmaze.com/episodes/1995452/rooster-teeth-animated-adventures-2020-12-21-boulder-bs	Boulder BS	2020.0	50.0	regular	2020-12-21	nan	2020-12-21T17:00:00+00:00	2.0	nan	6147	https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	Rooster Teeth Animated Adventures	Animation	English	['Comedy']	Running	2.0	2.0	2011-09-28	nan	https://roosterteeth.com/series/rt-animated-adventures	39.0	nan	<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	1.649262e+09	https://api.tvmaze.com/episodes/1949331
73	1995453	https://www.tvmaze.com/episodes/1995453/rooster-teeth-animated-adventures-2020-12-21-deer-stalker	Deer Stalker	2020.0	51.0	regular	2020-12-21	nan	2020-12-21T17:00:00+00:00	2.0	nan	6147	https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	Rooster Teeth Animated Adventures	Animation	English	['Comedy']	Running	2.0	2.0	2011-09-28	nan	https://roosterteeth.com/series/rt-animated-adventures	39.0	nan	<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	1.649262e+09	https://api.tvmaze.com/episodes/1949332
74	2005525	https://www.tvmaze.com/episodes/2005525/this-week-in-tech-2020-12-21-the-year-in-review-og-twits-discuss-the-years-biggest-stories-and-trends	The Year in Review - OG TWiTs discuss the year's biggest stories and trends	2020.0	51.0	regular	2020-12-21	nan	2020-12-21T17:00:00+00:00	120.0	nan	17584	https://www.tvmaze.com/shows/17584/this-week-in-tech	This Week in Tech	News	English	[]	Running	120.0	120.0	2005-04-17	nan	https://twit.tv/shows/this-week-in-tech	27.0	nan	<p>Your first podcast of the week is the last word in tech. Join the top tech pundits in a roundtable discussion of the latest trends in high tech. Hosted by Leo Laporte and friends.</p>	1.648029e+09	https://api.tvmaze.com/episodes/1949333
75	1977578	https://www.tvmaze.com/episodes/1977578/atop-the-fourth-wall-12x47-solo-a-star-wars-story	Solo: A Star Wars Story	12.0	47.0	regular	2020-12-21	nan	2020-12-21T17:00:00+00:00	25.0	nan	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	nan	http://www.atopthefourthwall.com	28.0	nan	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1.649779e+09	https://api.tvmaze.com/episodes/1949334
76	2036539	https://www.tvmaze.com/episodes/2036539/raw-talk-4x30-december-21-2020	December 21, 2020	4.0	30.0	regular	2020-12-21	nan	2020-12-21T17:00:00+00:00	30.0	nan	22473	https://www.tvmaze.com/shows/22473/raw-talk	RAW Talk	Talk Show	English	['Sports']	Running	30.0	30.0	2016-10-30	nan	https://watch.wwe.com/in-ring/Raw-Talk-1004	40.0	nan	<p>On <b>RAW Talk</b>, Renee Young catches up with your favorite WWE RAW Superstars after each episode of "RAW" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1.641487e+09	https://api.tvmaze.com/episodes/1949335
77	1977416	https://www.tvmaze.com/episodes/1977416/goede-tijden-slechte-tijden-31x65-aflevering-6320	Aflevering 6320	31.0	65.0	regular	2020-12-21	20:00	2020-12-21T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1949336
78	1988884	https://www.tvmaze.com/episodes/1988884/upstart-crow-s03-special-lockdown-christmas-1603	Lockdown Christmas 1603	3.0	NaN	significant_special	2020-12-21	21:00	2020-12-21T21:00:00+00:00	30.0	<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>	9815	https://www.tvmaze.com/shows/9815/upstart-crow	Upstart Crow	Scripted	English	['Comedy']	Ended	30.0	30.0	2016-05-09	2020-12-21	http://www.bbc.co.uk/programmes/b0959g26	75.0	nan	<p>Comedy about William Shakespeare as he starts to make a name for himself in London while also trying to be a good husband and father for his family in Stratford-upon-Avon.</p>	1.646749e+09	https://api.tvmaze.com/episodes/1996786
79	1988897	https://www.tvmaze.com/episodes/1988897/short-stuff-2020-special-christmas-special	Christmas Special	2019.0	NaN	significant_special	2020-12-21	23:00	2020-12-21T23:00:00+00:00	30.0	<p>Sanjeev Kohli presents a special festive compilation of some of the best of online comedy from Short Stuff and BBC Scotland's the Social. with clips featuring Farmer Jim Smith, Duncan and Judy Murray, Ashley Storrie and more.</p>	48930	https://www.tvmaze.com/shows/48930/short-stuff	Short Stuff	Variety	English	[]	Running	15.0	15.0	2018-08-24	nan	https://www.bbc.co.uk/programmes/p03fz0h2	15.0	nan	<p>Quick, fresh and funny stuff from Scotland.</p>	1.608524e+09	https://api.tvmaze.com/episodes/1955318
80	1972713	https://www.tvmaze.com/episodes/1972713/wwe-monday-night-raw-27x51-1439-tropicana-field-in-st-petersburg-fl	#1439 - Tropicana Field in St. Petersburg, FL	27.0	51.0	regular	2020-12-21	20:00	2020-12-22T01:00:00+00:00	180.0	nan	802	https://www.tvmaze.com/shows/802/wwe-monday-night-raw	WWE Monday Night RAW	Sports	English	[]	Running	180.0	181.0	1993-01-11	nan	http://www.wwe.com/	94.0	nan	<p><b>WWE Monday Night RAW</b> is World Wrestling Entertainment's (formerly the WWF and the WWWF before that) premiere wrestling event and brand. Since its launch in 1993, WWE Monday Night RAW continues to air live on Monday nights. It is generally seen as the company's flagship program due to its prolific history, high ratings, weekly live format, and emphasis on pay-per-views. Monday Night RAW is high profile enough to attract frequent visits from celebrities who usually serve as guest hosts for a single live event. Since its first episode, the show has been broadcast live or recorded from more than 197 different arenas in 165 cities and towns in seven different nations: including the United States, Canada, the United Kingdom twice a year, Afghanistan for a special Tribute to the Troops, Germany, Japan, Italy and Mexico.</p>	1.649724e+09	https://api.tvmaze.com/episodes/1996399
81	2152586	https://www.tvmaze.com/episodes/2152586/gang-wars-princes-1x11-serija-11	Serija 11	1.0	11.0	regular	2020-12-21	21:00	2020-12-22T02:00:00+00:00	44.0	nan	57009	https://www.tvmaze.com/shows/57009/gang-wars-princes	Gang Wars. Princes	Scripted	Lithuanian	['Drama', 'Crime', 'Thriller']	Ended	NaN	45.0	2020-10-12	2020-12-28	https://go3.lt/series/gauju-karai-princai,serial-2042036	17.0	nan	<p>Based on true events, the new Go3 original series is a crime story that may have taken place in the late 20th century in Lithuania. The story about one of the criminal groups "Princes" shows their methods of action, lifestyle and relationships with other criminal gangs.</p>	1.636217e+09	https://api.tvmaze.com/episodes/2042003

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Final Punctuation

Initial Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation